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Abstract Details
Activity Number:
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27
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Type:
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Contributed
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Date/Time:
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Sunday, July 31, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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Abstract - #302387 |
Title:
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Variability as a Predictor of Dementia
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Author(s):
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Michael R. Elliott*+ and Mary Sammel and Jessica Faul
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Companies:
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University of Michigan and University of Pennsylvania and University of Michigan
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Address:
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M4124 SPHII, Ann Arbor, MI, 48109, USA
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Keywords:
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Differential measurement error ;
Markov Chain Monte Carlo ;
Total recall ;
Dementia ;
Health and Retirement Survey
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Abstract:
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Means or other central tendency measures are by far the most common focus of statistical analyses. However, as Carroll (2003) noted, ``systematic dependence of variability on known factors'' may be ``fundamental to the proper solution of scientific problems'' in certain settings. We develop a method for combining information from mean profiles and residual variance to predict categorical outcomes in a joint hierarchical modeling framework. We consider an application to prediction of dementia onset using word recall measures obtained over time from the Health and Retirement Survey.
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